Published June 23, 2021 | Version v1
Dataset Open

Global monthly distributions of atmospheric CO2 concentrations under the historical and future scenarios

  • 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 2. Key Lab of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • 3. Institute of Tibetan Plateau and Polar Meteorology, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • 4. Department of Earth System Science, Tsinghua University, Beijing 100084, China
  • 5. School of Information Engineering, China University of Geosciences, Beijing 100083, China
  • 6. College of Resource, Environment and Tourism, Capital Normal University, Beijing 100048, China

Description

Increases in atmospheric carbon dioxide (CO2) concentrations is the main driver of global warming. Satellite observations provide continuous global CO2 retrieval products, that reveal the nonuniform distributions of atmospheric CO2 concentrations. However, climate simulation studies are almost based on a globally uniform mean or latitudinally resolved CO2 concentrations assumption. In this study, we reconstructed the historical global monthly distributions of atmospheric CO2 concentrations with 1º resolution from 1850 to 2013. We followed the historical monthly and latitudinally resolved CO2 concentrations accounting longitudinal features retrieved from fossil-fuel CO2 emissions from Carbon Dioxide Information Analysis Center. And the spatial distributions of nonuniform CO2 under Shared Socio-economic Pathways and Representative Concentration Pathways scenarios were generated based on the spatial, seasonal and interannual scales of the current CO2 concentrations from 2015 to 2150. Including the heterogenous CO2 distributions could enhance the realism of global climate modeling, to better anticipate the potential socio-economic implications, adaptation practices, and mitigation of climate change.

Notes

The data records include 1 file Network Common Data Form (NetCDF) format for CO2 distributions in historical period named CO2_1deg_month_1850-2013.nc, and 8 files NetCDF format with the naming convention CO2_SSP{XYY}_2015_2150.nc, where X and YY are the shared socioeconomic pathway and radiative forcing level at 2100, respectively, for CO2 distributions in the future scenarios. Each NetCDF file includes 3 dimensions: time (month of the year expressed as days since the first day of 1850, n = 1968 and 1632 for the historical and the future, respectively); latitude (Degrees North of the equator [cell centres], n = 180); longitude (Degrees East of the Prime Meridian [cell centres], n = 360). Each NetCDF file contains a monthly variable representing mole fraction of carbon dioxide in air (variable name: value in the historical file and CO2 in the future scenario files) with the unit ppm and the 1º × 1º resolution.

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